/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * License); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * AS IS BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */

/*
 * Copyright (c) 2019, Open AI Lab
 * Author: haitao@openailab.com
 */

#ifndef __KERNEL_REGISTRY_HPP__
#define __KERNEL_REGISTRY_HPP__

#include <unordered_map>

namespace TEngine {

template <typename T> class KernelRegistry
{
public:
    bool Register(const T& t, int layout, int data_type)
    {
        int idx = get_idx(layout, data_type);

        if(map.count(idx))
            return false;

        map[idx] = t;
        return true;
    }

    bool GetKernel(T& t, int layout, int data_type)
    {
        int idx = get_idx(layout, data_type);

        if(map.count(idx) == 0)
            return false;

        t = map[idx];

        return true;
    }

private:
    int get_idx(int layout, int data_type)
    {
        return (layout << 8) | (data_type);
    }

    std::unordered_map<int, T> map;
};

}    // namespace TEngine

#endif
